Evidence map›Paper›PMID 38002502›Full record

ArticleBrain sciences2023

EEG Biofeedback Decreases Theta and Beta Power While Increasing Alpha Power in Insomniacs: An Open-Label Study.

Huicong Wang, Yue Hou, Shuqin Zhan, Ning Li, Jianghong Liu, Penghui Song, Yuping Wang, Hongxing Wang

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
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  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Huicong WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Yue HouDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Shuqin ZhanDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Ning LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Jianghong LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Penghui SongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Yuping WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Hongxing WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.ORCID 0000-0002-7942-9330
Capital Medical University · CN

Funding

Beijing Health System Leading Talent Grant 2022-02-10National Key Research and Development Program of China 2021YFC2501400the National Key R&D Program of China No. 2022YFC2503901, 2022YFC2503900
6 · The paper itself

Abstract

Insomnia, often associated with anxiety and depression, is a prevalent sleep disorder. Biofeedback (BFB) treatment can help patients gain voluntary control over physiological events such as by utilizing electroencephalography (EEG) and electromyography (EMG) power. Previous studies have rarely predicted biofeedback efficacy by measuring the changes in relative EEG power; therefore, we investigated the clinical efficacy of biofeedback for insomnia and its potential neural mechanisms. We administered biofeedback to 82 patients with insomnia, of whom 68 completed 10 sessions and 14 completed 20 sessions. The average age of the participants was 49.38 ± 12.78 years, with 26 men and 56 women. Each biofeedback session consisted of 5 min of EMG and 30 min of EEG feedback, with 2 min of data recorded before and after the session. Sessions were conducted every other day, and four scale measures were taken before the first, fifth, and tenth sessions and after the twentieth session. After 20 sessions of biofeedback treatment, scores on the Pittsburgh Sleep Quality Index (PSQI) were significantly reduced compared with those before treatment (-5.5 ± 1.43,t = -3.85,

Indexed as

alpha powerbiofeedbackEEGEMGinsomnia

Identifiers

PMID38002502
PMCPMC10670123
OpenAlexW4388231491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.